Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?

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Natural language understanding applications such as interactive planning and face-to-face translation require extensive inferencing. Many of these inferences are based on the meaning of particular open class words. Providing a representation that can support such lexically-based inferences is a primary concern of lexical semantics. The representation language of first order logic has well-understood semantics and a multitude of inferencing systems have been implemented for it. Thus it is a prime candidate to serve as a lexical semantics representation. However, we argue that FOL, although a good starting point, needs to be extended before it can efficiently and concisely support all the lexically-based inferences needed.
Presented at the "Future of the Dictionary" workshop, Grenoble, France (October, 1994), 12 pages PostScript

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Computation and Language

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http://salesiana.dossiersoluciones.com/handle/123456789/151123

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9412004
 http://arxiv.org/abs/cmp-lg/9412004

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arXiv